Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic profiling between HSC-3 cells and its highly metastatic subline, HSC-3-M3 cells

ABSTRACT: Transcriptomic profiling between HSC-3 cells and its highly metastatic subline, HSC-3-M3 cells

PROVIDER: PRJNA673134 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Transcriptomic profiling between HSC-3 cells and its highly metastatic subline, HSC-3-M3 cells

Project description:Metastasis to cervical lymph nodes of oral squamous cell carcinoma (OSCC) leads to a poor prognosis. The present study aimed at investigating the pathways and molecules associated with OSCC metastasis. The transcriptome between HSC-3 cells and their highly metastatic subline, HSC-3-M3 cells, was examined using gene expression microarray.

2020-12-01 | GSE160395 | GEO

human epidermoid carcinoma cell: Control (A431-P cells) vs. highly invasive subline (A431-III cells)

Project description:Transcriptional profiling of human epidermoid carcinoma cell comparing control A431-P cells with highly invasive subline A431-III cells

2013-06-18 | GSE47996 | GEO

Comparative expressional analyses between a diffuse-type gastric cancer cell line HSC-60 and its highly metastatic subline 60As6 by microarray

Project description:Although peritoneal dissemination is a major obstacle in treating diffuse-type GC patients, the mechanism is still unclear. To address this phenomenon from the viewpoint of molecular biology, we established a highly peritoneal-metastatic cell line, 60As6, from a diffuse-type GC derived cell line, HSC-60, through a six-times iterative in vivo selection consisting of an orthotopic inoculation of the tumor cells and the isolation of highly-metastatic ones from the ascites of immunodeficient mice. To assess the biological differences between HSC-60 and 60As6 cells, we compared gene expression profiles for both cell lines by microarray analysis. Down-regulation of three gastric pit cell differentiation markers and some cytokeratins were found in 60As6. By contrast, several stem cell markers were up-regulated in this cell line. The expression profile suggests that 60As6 has a strong mensencymal phenotype, which is a characteristic of epithelial cell-derived CSCs.

2014-12-31 | GSE53276 | GEO

Transcriptomic profiling between HSC-3 and HSC-3-S5 cells

Project description:This study aimed to evaluate the gene expression signature of HSC-3 cells and its subline adapted to suspension culture (HSC-3-S5). Total RNAs were isolated from HSC-3 cells and HSC-3-S5 cells, and gene expression signatures were examined using gene expression microarray.

2023-09-01 | GSE235020 | GEO

human epidermoid carcinoma cell: Control (A431-P cells) vs. highly invasive subline (A431-III cells)

Project description:Transcriptional profiling of human epidermoid carcinoma cell comparing control A431-P cells with highly invasive subline A431-III cells No treatmentt, A431-P cells vs. A431-III cells. A431-P cells are used as a reference to invstigate A431-III cells.

2013-06-18 | E-GEOD-47996 | biostudies-arrayexpress

MicroRNAome of highly metastatic and non-metastatic human breast cell lines

Project description:MicroRNAs are noncoding, endogenous small RNAs that regulate target genes by cleavage of the targeted mRNA or translational repression. We investigated the microRNAome using 2-color microarrays in a highly invasive human breast cancer cell line, MDA-MB-231 (sub line 4175) and a non-invasive breast epithelial cell line, MCF10A. We found 13 miRNAs that were up-regulated and 9 were down-regulated significantly in 4175 cells (p <0.05, fold change >2) compared with MCF10A cells. We compared the highly metastatic human breast cell lines MDA-MB-231 (4175 subline) with non-metastatic MCF10A cell lines. Two 4175 sublines and two MCF10A cell lines, independently grown and harvested. Dye swap was performed.

2010-05-15 | E-GEOD-17350 | biostudies-arrayexpress

Molecular mechanism of muscarinic acetylcholine receptor M3 interaction with Gq

Project description:Muscarinic acetylcholine receptor M3 (M3) and its downstream effector Gq/11 are critical drug development targets given their involvement in numerous physiological processes and diseases. Although a cryo-electron microscopy study previously defined the structure of the M3-miniGq complex, the lack of information on the intracellular loop 3 (ICL3) of M3 and α-helical domain (AHD) of Gαq has made it difficult to comprehend the molecular mechanism of M3-Gq coupling fully. Here, we present the molecular mechanism underlying the dynamic interactions between the wild-type full-length M3 and heterotrimeric Gq using hydrogen-deuterium exchange mass spectrometry and NanoLuc Binary Technology-based cell systems. This study suggests potential binding interfaces between M3 and Gq in pre-assembled and fully active nucleotide-free complexes. In addition to well-known binding interfaces, we observed the interaction of long ICL3 with Gβγ. Furthermore, M3 ICL3 negatively affected M3-Gq coupling, and the Gαq AHD underwent unique conformational changes during M3-Gq coupling. Therefore, we propose a comprehensive molecular mechanism of M3-Gq coupling by analyzing previously well-defined binding interfaces and neglected regions, such as M3 ICL3 and the Gαq AHD.

2024-05-22 | PXD042562 | Pride

Mycobacterium tuberculosis M3 strain:M3

Project description:Mycobacterium tuberculosis M3 strain:M3 Genome sequencing

| PRJNA183185 | ENA

Vibrio anguillarum M3 strain:M3

Project description:Vibrio anguillarum M3 strain:M3 Genome sequencing

| PRJNA211964 | ENA

Human gastric cancer cell MKN45: MKN45-GFP control vs. highly metastatic sublines

Project description:Gene expression profiles of in vitro selected highly metastatic MKN45-GFP sublines. The results were compared with MKN45-GFP control cell line to determine the metastasis associated genes. Four pairs compared experiment. Each pair was used MKN45-GFP cells as correlated control. Determining on the gene expression trends were by various metastatic ability of each subline.

2011-11-10 | E-GEOD-33570 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data